Special Lecture of Plant Production Science VI
| Numbering Code | G-AGR01 7AA28 LJ78 | Year/Term | 2022 ・ Intensive, Second semester | |
|---|---|---|---|---|
| Number of Credits | 1 | Course Type | Lecture | |
| Target Year | Target Student | |||
| Language | Japanese | Day/Period | Intensive | |
| Instructor name |
SATO YUTAKA (Part-time Lecturer) NASUDA SHUUHEI (Graduate School of Agriculture Professor) |
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| Outline and Purpose of the Course | Under global climate change, efficiency in breeding is increasingly important, not only in the amount to meet increasing population, but also in the quality and functionality of agricultural products enough to supply the demand by the increasing middle class population. For that purpose, obtaining genetic information (genotyping) and improving efficiency in phenotyping are essential for the understanding of gene functions. Although genotyping has been accelerated by the appearance of the next generation seek sensor and rapid development, phenotyping remains as before, as a kind of old-fashioned hand works, a bottleneck in improving efficiency in breeding. Therefore, rapid phenotyping is all over the world. In this course, we will outline broadly from the viewpoint of both hardware and software concerning such phenotyping, especially the present state of the technology for faster typing in the field and faster development in the future. Besides breeding, we also discuss phenomics that can be used for decision-making support of actual cultivation. | |||
| Course Goals | Understanding of the importance of phenotyping, the outline of the latest method, and knowledge to follow the standard procedure by the students themselves. | |||
| Schedule and Contents |
We are planning as follows, including the latest topics on the subjects. 1. Genotyping and phenotyping in breeding: The current status, perspectives and issues of phenotyping and genotyping in breeding are outlined. 2. Phenotyping with visible images: The imaging phenotyping technology with ordinary digital cameras is outlined. 3. Nondestructive measurement with electromagnetic waves: Techniques for nondestructive collection of biological information from ultraviolet rays to terahertz are outlined. 4. Phenotyping platform: The data collection platform and its possibilities to contribute in phenotyping efficiency such as drone and fenomobil are outlined. 5. Environment measurement sensors and working record: The IoT technology for the field is outlined. 6. Trait prediction model: Methods for predicting crop performance efficiently, such as crop growth prediction models, genomic models, models taking environmental / genotype interaction into account are outlined. 7. Breeding platform: A platform for improving efficiency of breeding by integrating various elemental technologies are outlined, including data exchange infrastructure and databases. |
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| Evaluation Methods and Policy | Graded by term paper. | |||
| Course Requirements | None | |||
| Study outside of Class (preparation and review) | Outlined in this course is the status quo of the phenotyping technology, especially the high-speed fields phenotyping that is more difficult to perform, and prospects for the future development, viewing widely from both hardware and software perspectives. Participants are expected to teach themselves in their daily works, making the points clear. | |||
| Textbooks | Textbooks/References | Handouts will be given as necessary. | ||
